Learning Analytics in Hybrid Manager
Use this section to learn how to apply EDB Hybrid Manager (HM) analytics features to your real-world workloads.
Hybrid Manager enables you to manage and operate advanced analytics capabilities across your Postgres deployments, including:
- Lakehouse Clusters for high-speed analytical queries on object storage
- Apache Iceberg and Delta Lake integration for modern data lake architectures
- Tiered Tables for cost-effective management of large time-series data
- Unified management of both operational and analytical data through a single control plane
Explore the Learning Content
Concepts
Understand key technologies and patterns that power analytics in Hybrid Manager.
Next topic: How-To Guides for Analytics in Hybrid Manager
Solving Business Problems
See common analytics use cases and how to solve them using Hybrid Manager capabilities.
Next topic: Persona-Based Guide to Using Analytics in Hybrid Manager
Persona-Based Guidance
Find recommended approaches and resources based on your role.
Next topic: How-To Guides for Analytics in Hybrid Manager
How-To Guides
Step-by-step instructions for configuring and using Hybrid Manager analytics features.
Next topic: Analytics Tutorials
Tutorials
In-depth step-by-step projects to apply Hybrid Manager analytics to real scenarios.
Next Steps
- Start by reviewing Analytics Concepts to understand the core architecture and patterns.
- Explore Solving Problems to match features to your business needs.
- Use the How-To Guides to configure and operate your system.
- Continue with the Analytics Tutorials for deeper hands-on learning.
Explore Further
- Analytics in Hybrid Manager
- Working with Apache Iceberg in Hybrid Manager
- Working with Delta Lake in Hybrid Manager
- Implementing Tiered Tables in Hybrid Manager
- Lakehouse Clusters in Hybrid Manager
Concepts
Understand how Hybrid Manager implements and manages key analytics capabilities, and how core data lakehouse concepts apply within Hybrid Manager.
How-To Guides
Step-by-step guides for configuring and using analytics features in Hybrid Manager, including Lakehouse Clusters, Apache Iceberg, Delta Lake, and Tiered Tables.
Personas
Learn how different technical roles can leverage analytics features in Hybrid Manager to optimize data access, performance, and insights.
Use Cases
Explore common analytics use cases and how Hybrid Manager features support them using Lakehouse Clusters, Tiered Tables, Iceberg, and Delta Lake.
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Analytics Concepts in Hybrid Manager
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